Triple
T24259899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skerryvore Lighthouse |
E604669
|
entity |
| Predicate | distanceFromNearestLand |
P15760
|
FINISHED |
| Object | about 12 miles south-west of Tiree |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: about 12 miles south-west of Tiree | Statement: [Skerryvore Lighthouse, distanceFromNearestLand, about 12 miles south-west of Tiree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromNearestLand Context triple: [Skerryvore Lighthouse, distanceFromNearestLand, about 12 miles south-west of Tiree]
-
A.
distanceFromCoast
chosen
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
B.
distanceToLand’sEnd
Indicates the measured distance between a given location or object and the specific place referred to as Land’s End.
-
C.
hasNearbyCoast
Indicates that one location is situated close to a coastline or seashore.
-
D.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
E.
distanceToPacificOcean
Indicates the physical distance between a given location or entity and the Pacific Ocean.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6656f08190a8140a54eba7c0ce |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:06 a.m.